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Cartesian Genetic Programming for Image Processing [chapter]

Simon Harding, Jürgen Leitner, Jürgen Schmidhuber
2013 Genetic and Evolutionary Computation  
Combining domain knowledge about both imaging processing and machine learning techniques can expand the abilities of Genetic Programming when used for image processing.  ...  In addition, by virtue of using off-the-shelf image processing libraries we can generate human readable programs that incorporate sophisticated domain knowledge.  ...  The authors would like to thank Julian Miller for his help in refining this paper.  ... 
doi:10.1007/978-1-4614-6846-2_3 fatcat:wsttqixjurbwxmpv2u6sovxree

Evolving boundary detectors for natural images via Genetic Programming

Ilan Kadar, Ohad Ben-Shahar, Moshe Sipper
2008 Pattern Recognition (ICPR), Proceedings of the International Conference on  
We present a novel learning approach to automatically construct a boundary detector for natural images via Genetic Programming (GP).  ...  Our approach aims to use GP as a learning framework for evolving computer programs that are evaluated against human-marked boundary maps, in order to accurately detect and localize boundaries in natural  ...  Genetic Programming Genetic Programming (GP) is an automated process that uses simulated evolution to generate computer programs that represent candidate solutions to a given problem [7] .  ... 
doi:10.1109/icpr.2008.4761581 dblp:conf/icpr/KadarBS08 fatcat:7pclyv5barc2nkx5ozdnei4xfu

Genetic programming for algae detection in river images

Andrew Lensen, Harith Al-Sahaf, Mengjie Zhang, Brijesh Verma
2015 2015 IEEE Congress on Evolutionary Computation (CEC)  
Genetic Programming (GP) has been applied to a wide range of image analysis tasks including many real-world segmentation problems.  ...  This paper introduces a new biological application of detecting Phormidium algae in rivers of New Zealand using raw images captured from the air.  ...  Genetic Programming has been applied to many different areas of image analysis, including texture classification [18] , edge detection [19] and image segmentation [20] .  ... 
doi:10.1109/cec.2015.7257191 dblp:conf/cec/LensenAZV15 fatcat:dvfsjsqgqzcn5ofoew7way7jy4

A public domain image-analysis program for the single-cell gel-electrophoresis (comet) assay

Christoph Helma, Maria Uhl
2000 Mutation Research. Genetic Toxicology and Environmental Mutagenesis  
Therefore, the time for image analysis is very low, even on slow computers.  ...  As commercial programs are expensive and inflexible, we decided to develop an image-analysis system based on public domain programs and make it publicly available for the scientific community.  ...  The goal of the present work was to develop an image-analysis program for the comet assay, which is easy and efficient to use, and to make the source code publicly available.  ... 
doi:10.1016/s1383-5718(99)00232-6 pmid:10751720 fatcat:lhpoy2j2fbhmxak5unlt3tvxoq

Genetic Programming for Object Detection: A Two-Phase Approach with an Improved Fitness Function

Mengjie Zhang, Urvesh Bhowan, Bunna Ny
2007 ELCVIA Electronic Letters on Computer Vision and Image Analysis  
The approach uses genetic programming to construct object detection programs that are applied, in a moving window fashion, to the large images to locate the objects of interest.  ...  approach for the most difficult data set in terms of the object detection accuracy.  ...  detection and recognition and image analysis.  ... 
doi:10.5565/rev/elcvia.135 fatcat:owqdtzzsjrhhzgqclnhjtwmfwa

Learning Robust Feature Descriptor for Image Registration with Genetic Programming

Yue Wu, Qingxiu Su, Wenping Ma, Shaodi Liu, Qiguang Miao
2020 IEEE Access  
INDEX TERMS Image registration, genetic programming, feature descriptor, scale-invariant feature transform (SIFT).  ...  The aim of this paper is to utilise Genetic Programming (GP) to automatically evolve feature descriptors which are adaptive to various images including remote sensing images and optical images.  ...  Genetic programming is an evolutionary computation algorithm based on natural selection. It provides a way to find computer programs with the best fitness.  ... 
doi:10.1109/access.2020.2968339 fatcat:lzm76l4bvrez7gaubiqn53encu

A cross-platform public domain PC image-analysis program for the comet assay

Krzysztof Końca, Anna Lankoff, Anna Banasik, Halina Lisowska, Tomasz Kuszewski, Stanisław Góźdź, Zbigniew Koza, Andrzej Wojcik
2003 Mutation Research. Genetic Toxicology and Environmental Mutagenesis  
The analysis of comets-damaged cells which form a typical comet-shaped pattern-is greatly facilitated by the use of a computer image-analysis program.  ...  Although several image-analysis programs are available commercially, they are expensive and their source codes are not provided.  ...  Acknowledgements We are grateful to Dr Maria Wojewódzka, INCT Warszawa, for her help during writing of the program.  ... 
doi:10.1016/s1383-5718(02)00251-6 fatcat:aawp4rvztbgobi4wd6pvxjwdmy

Genetic Programming for Region Detection, Feature Extraction, Feature Construction and Classification in Image Data [chapter]

Andrew Lensen, Harith Al-Sahaf, Mengjie Zhang, Bing Xue
2016 Lecture Notes in Computer Science  
Genetic Programming (GP) has also been applied extensively to image analysis problems [21] since it was introduced in the 1990s.  ...  Image analysis is a key area in the computer vision domain that has many applications. Genetic Programming (GP) has been successfully applied to this area extensively, with promising results.  ...  Genetic Programming (GP) [13] is an EA which models solutions in the form of computer programs.  ... 
doi:10.1007/978-3-319-30668-1_4 fatcat:rvw72zdpqragfkx5epqyax2gje

Object-oriented texture analysis for the unsupervised segmentation of biopsy images for cancer detection

Akif Burak Tosun, Melih Kandemir, Cenk Sokmensuer, Cigdem Gunduz-Demir
2009 Pattern Recognition  
This causes problems in image segmentation for the quantitative analysis and detection of cancer.  ...  Using this measure, we demonstrate a new object-oriented segmentation algorithm.  ...  Fig. 3 . 3 The steps for the object-oriented segmentation of a biopsy image: (a) start with the original tissue image; (b) locate the circular objects on the quantized image; (c) determine the seeds; (  ... 
doi:10.1016/j.patcog.2008.07.007 fatcat:43urykhisrdu7anjaej5lz3xzy

COMUS: Clinician-Oriented locus-specific MUtation detection and deposition System

Sungwoong Jho, Byoung-Chul Kim, Ho Ghang, Ji-Han Kim, Daeui Park, Hak-Min Kim, Soo-young Jung, Ki-young Yoo, Hee-Jin Kim, Sunghoon Lee, Jong Bhak
2009 BMC Genomics  
However, none of them have been implemented with any automated bioinformatics tools for mutation detection and analysis starting from raw data materials from patients.  ...  The detection of a mutation from a patient's sample is critical for the diagnosis, treatment, and prognosis of the disease.  ...  Results: COMUS (Clinician-Oriented locus specific MUtation detection and deposition System) is a mutation detection and deposition system for developing specific LSDBs.  ... 
doi:10.1186/1471-2164-10-s3-s35 pmid:19958500 pmcid:PMC2788389 fatcat:4ltvn7aaifb7lewjg4qbwd46li

Interest point detection using imbalance oriented selection

Qi Li, Jieping Ye, Chandra Kambhamettu
2008 Pattern Recognition  
Interest point detection has a wide range of applications, such as image retrieval and object recognition.  ...  However, we observe that non-maximum suppression tends to over-suppress good candidates for a weakly textured image such as a face image.  ...  Acknowledgments The authors would like to thank the reviewers and the associate editor for their comments, which helped improve the paper significantly. The research of Q. Li  ... 
doi:10.1016/j.patcog.2007.06.020 fatcat:stwedspp6fau3as4awdpivkbg4

Automatic Case-Based Reasoning Approach for Landslide Detection: Integration of Object-Oriented Image Analysis and a Genetic Algorithm

Jie Dou, Kuan-Tsung Chang, Shuisen Chen, Ali Yunus, Jin-King Liu, Huan Xia, Zhongfan Zhu
2015 Remote Sensing  
This paper proposes an automatic method for detecting landslides by using an integrated approach comprising object-oriented image analysis (OOIA), a genetic algorithm (GA), and a case-based reasoning (  ...  It consists of three main phases: (1) image processing and multi-image segmentation; (2) feature optimization; and (3) detecting landslides.  ...  Jie Dou, Kuan-Tsung Chang, and Yunus Ali designed the experiment, performed the analysis and wrote the manuscript.  ... 
doi:10.3390/rs70404318 fatcat:wuggvwnmnfbmjawyc2yx4qz3ha

Analysis of Oriented Texture with Applications to the Detection of Architectural Distortion in Mammograms

Fábio J. Ayres, Rangaraj M. Rangayyan, J. E. Leo Desautels
2010 Synthesis Lectures on Biomedical Engineering  
This book presents an analysis of several important methods for the detection of oriented features in images, and a discussion of the phase portrait method for high-level analysis of orientation fields  ...  In the context of the study of oriented features, low-level analysis includes the detection of oriented features in images; a measure of the local magnitude and orientation of oriented features over the  ...  This book presents an analysis of several important methods for the detection of oriented features in images, and a discussion of the phase portrait method for high-level analysis of orientation fields  ... 
doi:10.2200/s00301ed1v01y201010bme038 fatcat:acm7pqcz35gydnyisqbadop7my

Feature Detection and Orientation Tuning in the Drosophila Central Brain

Johannes D. Seelig, Vivek Jayaraman
2014 Biophysical Journal  
Finally, we suggest that modularity can serve as a potential biomarker for injury, rehabilitation, or disease. 4012-Pos Board B740 Feature Detection and Orientation Tuning in the Drosophila Central Brain  ...  Many animals, including insects, use visual landmarks for orientation and navigation.  ...  Finally, we suggest that modularity can serve as a potential biomarker for injury, rehabilitation, or disease. 4012-Pos Board B740 Feature Detection and Orientation Tuning in the Drosophila Central Brain  ... 
doi:10.1016/j.bpj.2013.11.4360 fatcat:477pfsskdbhnvasut6ksosqnde

Topic oriented community detection through social objects and link analysis in social networks

Zhongying Zhao, Shengzhong Feng, Qiang Wang, Joshua Zhexue Huang, Graham J. Williams, Jianping Fan
2012 Knowledge-Based Systems  
We thank Chao Li and Shuang Wang for their critical reading and careful revisions of this manuscript.  ...  We greatly appreciate the reviewers and editor for their valuable suggestions and comments to improve this work.  ...  Framwork The framework for topic oriented community detection is illustrated in Figure 2 .  ... 
doi:10.1016/j.knosys.2011.07.017 fatcat:xbuse7wao5dhjp3orwdm3nj6bm
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